Smart Foods Innovation Centre of Excellence, AgResearch Ltd., Private Bag 11 008, Palmerston North 4442, New Zealand.
Digital Agriculture Innovation Centre of Excellence, AgResearch Ltd., Private Bag 11 008, Palmerston North 4442, New Zealand.
J Dairy Sci. 2021 Nov;104(11):11413-11421. doi: 10.3168/jds.2021-20201. Epub 2021 Aug 26.
The value of milk hinges on its physicochemical functionality under processing conditions. We examined composition-functionality relationships with individual milks from 24 New Zealand dairy cows, sampled at 3 times over the season. Milks were classified into type A or B, according to the shape of 3-point heat coagulation time versus pH profiles. Milk type changed over the season for half of the cows in the study. Best subsets regression suggested that different factors controlled heat stability in the 2 milk types. Urea concentration was key for both types, but for type A milks, osmotic pressure and milk solids were the most important predictors of heat stability, whereas casein micelle size and ionic calcium predicted heat stability for type B milks. This study revealed that milk type is prone to change over the season, and the findings suggest that optimizing heat stability could be achieved by different means for type A versus type B milks.
牛奶的价值取决于其在加工条件下的物理化学功能。我们研究了来自 24 头新西兰奶牛的个体牛奶的组成-功能关系,这些奶牛在季节中被采样了 3 次。根据 3 点热凝固时间与 pH 曲线的形状,牛奶被分为 A 型或 B 型。在研究中,一半的奶牛的牛奶类型在季节中发生了变化。最佳子集回归表明,不同的因素控制着两种牛奶类型的热稳定性。尿素浓度对两种类型都很关键,但对于 A 型牛奶,渗透压和牛奶固体是热稳定性的最重要预测因子,而对于 B 型牛奶,酪蛋白胶束大小和离子钙则预测了热稳定性。本研究表明,牛奶类型在季节中容易发生变化,研究结果表明,优化热稳定性可以通过不同的方法来实现 A 型与 B 型牛奶。